Personal Profile

范剑超，教授，博士生导师，智能信息处理与建模优化研究所所长，辽宁省跨域协同与智能控制省重点实验室副主任。辽宁省“百千万人才工程”千层次人才，青年测绘地理信息科技创新人才，辽宁省优秀博士学位论文获得者，IEEE高级会员，中国海洋学会会员，辽宁省海洋学会委员，中国造船工程学会第九届船舶轮机学术委员会委员，2020年-2023年担任联合国西北太平洋行动计划特殊监测和海岸环境影响评价区域活动中心（NOWPAP CEARAC）中国联络员。2007年毕业于大连理工大学，获得自动化专业学士学位，2012年毕业于大连理工大学，获得控制理论与控制工程专业博士学位。2013年-2016年随IEEE Life Fellow，香港工程院院士、欧洲科学院院士王钧教授进行博士后学习，2017年-2018年赴美国圣路易斯华盛顿大学进行访问学者交流。

主要研究方向为人工智能及大数据分析应用，内容包括：深度学习神经网络，视频图像快速处理，卫星遥感影像解译，海洋目标识别等，涉及卫星遥感、海洋科学、图像分析和人工智能等多学科交叉。荣获青年测绘地理信息科技创新人才奖，中国人工智能最高奖吴文俊自然科学奖二等奖，海洋工程科学技术奖二等奖，浙江省科技进步奖三等奖等各类型奖项20余项，2024年和2025年连续指导学生参加全国大学生“挑战杯”比赛荣获“特等奖”和“一等奖”。

先后主持及参与国家自然科学基金，高分海洋重大科研专项，“十三五”和“十四五”国家重点研发计划，中国-东盟海上合作基金等科研项目40余项。主要包括国防科工委高分辨率对地观测系统重大科研专项高分专项海域使用动态监测子课题(41-Y30B12-9001-14/16)，国家重点研发计划“海洋环境安全保障”专项, 海上目标识别与监视系统集成与应用示范(2017YFC1404900) ，微波遥感海洋信息提取技术研究(2016 YFC1401007)，国家自然科学基金(42076184, 41876109, 41706195)等。

在TNNLS, TFS, TGRS, TIP等期刊和国际学术会议上发表论文130余篇，著作3本，授权发明专利12项，软件著作权7项，编制国家高分辨率对地观测系统重大专项技术标准《高分海域使用动态监测技术规程》（GFB 51101-2018）1项。 

近期主要学术论文：

[1] Jianchao Fan, Pingzhuo Wang, Xinzhe Wang, Jun Wang*. Enhancing the Swin Transformer with Spatiotemporal Feature Correction for Time-series Image Segmentation. IEEE Transactions on Systems, Man, and Cybernetics: System. 2025, 10.1109/TSMC.2025.3646227.

[2] Jianchao Fan, Keyuan Liu, Danchen Zheng, Jun Wang*. An Interpretable Dual-branch Network with Consistent Learning for PolSAR Image Segmentation. IEEE Transactions on Aerospace and Electronic Systems，2025, 10.1109/TAES.2025. 3640614.

[3] Jianchao Fan, Mengmeng Li, Xinzhe Wang*. Unsupervised Transformer with Generative Label Optimization for Marine Aquaculture Segmentation. IEEE Transactions on Geoscience and Remote Sensing. 2025, vol. 63, pp. 1-14, Art no. 4205714.

[4]  Jianchao Fan*, Kai Huang, Junjie Hu, Xinzhe Wang. Yield Prediction of Marine Algae and Shellfish Aquaculture Based on Multivariate Remote Sensing. IEEE Transactions on Geoscience and Remote Sensing. 2025, vol. 63, pp. 1-13, Art no. 4204713.

[5] Jin Zhao, Jianchao Fan*, Jun Wang*. ABVNPSO: Parameter Optimization of Encoder-Decoder Networks for Image Segmentation. IEEE Transactions on Emerging Topics in Computational Intelligence. 2026, 10(1): 557-570.

[6] Guangyan Cui, Jianchao Fan*, Yarong Zou. Enhanced Unsupervised Domain Adaptation with Iterative Pseudo-Label Refinement for Inter-Event Oil Spill Segmentation in SAR Images. International Journal of Applied Earth Observation and Geoinformation, 2025, 139(104479): 1-16.

[7] Shuo Lian^#, Jianchao Fan^#, Jun Wang*. NRGAN: A Noise-Resilient GAN with Adaptive Feature Modulation for SAR Image Segmentation. Pattern Recognition. 2025， 164(111490): 1-13.

[8] Jianchao Fan, Yujuan Ma*, Tingting Liang, Guangyan Cui. Multi-source Remote Sensing Big Data Mining Reveals Cross-regional Correlation between Aquaculture and Enteromorpha Disaster Outbreaks. Geo-spatial Information Science，2025, 28(3): 1072-1084, https://doi.org/10.1080/10095020.2023.2282672.

[9] Kai Huang, Jianchao Fan*, Yujuan Ma. Coastal Nutrient Retrieval Using Multi-Dimensional Synergistic MSI/OLCI Data with a Group-Specific Feature Fusion Neural Network. International Journal of Remote Sensing. 2026, DOI: 10.1080/01431161.2026.2613450.

[10] Ruiwen Zhang, Jianchao Fan*. Classification and Carbon Stock Estimation of Mangroves in Dongzhaigang Based on Multi-source Remote Sensing Data Using Google Earth Engine. Remote Sensing. 2025, 17(6), 964.

[11] Yuanyue Liu, Jing Zhao, Jianchao Fan*, Jun Wang*. Optimizing the Hyperparameters of Fully Convolutional Encoder-decoder Networks for SAR Image Segmentation. IEEE Geoscience and Remote Sensing Letter. 2024, 21, 4013205, 1-5.

[12]  Jianchao Fan*, Qiwen Deng. RSC-APMN: Random Sea Condition Adaptive Perception Modulating Network for SAR-Derived Marine Aquaculture Segmentation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2024, 17, 13456-13472. 

[13] Jianchao Fan, Zitai Sui, Xinzhe Wang*. Multiphysical Interpretable Deep Learning Network for Oil Spill Identification Based on SAR Images. IEEE Transactions on Geoscience and Remote Sensing. 2024, vol. 62, pp. 1-15.

[14] Jianchao Fan, Jianlin Zhou, Xinzhe Wang, Jun Wang. A Self-supervised Transformer with Feature Fusion for SAR Image Semantic Segmentation in Marine Aquaculture Monitoring. IEEE Transactions on Geosciences and Remote Sensing, vol. 61, pp. 1-15, 2023, Art no. 4207915.

[15] Jianchao Fan, Shuai Zhang, Xinzhe Wang, Jun Xing. Multi-Feature Semantic Complementation Network for Marine Oil Spill Localization and Segmentation Based on SAR Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023, 16, 3771-3783, 10.1109/JSTARS.2023.3264007.

[16] Jianchao Fan, Chuan Liu. Multi-task GANs for Oil Spill Classification and Semantic Segmentation Based on SAR Image. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023, 16, 2532-2546, 10.1109/JSTARS.2023. 3249680.

[17] Xinzhe Wang, Linlin Tan, Jianchao Fan*. Performance Evaluation of Mangrove Species Classification Based on Multi-source Remote Sensing Data Using Extremely Randomized Trees in Fucheng Town, Leizhou City, Guangdong Province. Remote Sensing, 2023, 15, 1386. 10.3390/rs15051386.

[18] Xinzhe Wang, Jianlin Zhou, Jianchao Fan*. IDUDL: Incremental Double Unsupervised Deep Learning Model for Marine Aquaculture SAR Images Segmentation. IEEE Transactions on Geoscience and Remote Sensing. 2022, 60(4209412): 1-12. 10.1109/TGRS.2022.3203071.

[19] Jichao Wang, Jianchao Fan*, Jun Wang*. MDOAU-net: A Light and Robust Deep Learning Model for SAR Image Classification in Aquaculture Raft Monitoring. IEEE Geoscience and Remote Sensing Letters, 2022, 19 (4504505): 1-5.

[20] Jianchao Fan, Jianhua Zhao, Wentao An, Yuanyuan Hu. Marine Floating Raft Aquaculture Detection of GF-3 PolSAR Images Based on Collective Multi-kernel Fuzzy Clustering. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2019, 12(8): 2741-2754.

[21] Jianchao Fan, Xiang Wang, Xinxin Wang, Jianhua Zhao, Xiaoxin Liu. Incremental Wishart Broad Learning System for Fast PolSAR Image Classification. IEEE Geoscience and Remote Sensing Letter. 2019, 16(12): 1854-1858.

[22] Jianchao Fan, Kai Lin, Min Han. A Novel Joint Change Detection Approach Based on Weight-clustering Sparse Autoencoders. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2019, 12(2): 685-699.

[23] Jianchao Fan, Jun Wang. A Two-phase Fuzzy Clustering Algorithm Based on Neurodynamic Optimization with Its Application for PolSAR Image Segmentation. IEEE Transactions on Fuzzy Systems, 2018, 26(1): 72-83.

[24] Yuanyuan Hu, Jianchao Fan* and Jun Wang, Classification of PolSAR Images Based on Adaptive Nonlocal Stacked Sparse Autoencoder, IEEE Geoscience and Remote Sensing Letters, 2018, 15(7): 1050-1054.

[25] Jianchao Fan, Jun Wang. A Collective Neurodynamic Optimization Approach to Nonnegative Matrix Factorization. IEEE Transactions on Neural Networks and Learning Systems, 2017, 28(10): 2344-2356.

[26] Yan Zheng, Jianchao Fan, Jun Wang. A Collective Neurodynamic Approach to Constrained Global Optimization. IEEE Transactions on Neural Networks and Learning Systems, 2017, 28(5): 1206-1215.

[27] Jianchao Fan, Jun Wang, Min Han. Cooperative Coevolution for Large-scale Optimization Based on Kernel Fuzzy Clustering and Variable Trust Region Methods. IEEE Transactions on Fuzzy Systems. 2014, 22(4): 829-839.